PDF(Pubmed)
Abstract：
BACKGROUND: Mixed reality (MR) is helpful in hand training for patients with stroke, allowing them to fully submerge in a virtual space while interacting with real objects. The recognition of individual finger movements is required for MR rehabilitation. This study aimed to assess the effectiveness of updated MR-board 2, adding finger training for patients with stroke.
METHODS: Twenty-one participants with hemiplegic stroke (10 with left hemiplegia and 11 with right hemiplegia; nine female patients; 56.7 ± 14.2 years of age; and onset of stroke 32.7 ± 34.8 months) participated in this study. MR-board 2 comprised a board plate, a depth camera, plastic-shaped objects, a monitor, a palm-worn camera, and seven gamified training programs. All participants performed 20 self-training sessions involving 30-min training using MR-board 2. The outcome measurements for upper extremity function were the Fugl-Meyer assessment (FMA) upper extremity score, repeated number of finger flexion and extension (Repeat-FE), the thumb opposition test (TOT), Box and Block Test score (BBT), Wolf Motor Function Test score (WMFT), and Stroke Impact Scale (SIS). One-way repeated measures analysis of variance and the post hoc test were applied for the measurements. MR-board 2 recorded the fingers\' active range of motion (AROM) and Dunnett\'s test was used for pairwise comparisons.
RESULTS: Except for the FMA-proximal score (p = 0.617) and TOT (p = 0.005), other FMA scores, BBT score, Repeat-FE, WMFT score, and SIS stroke recovery improved significantly (p < 0.001) during MR-board 2 training and were maintained until follow-up. All AROM values of the finger joints changed significantly during training (p < 0.001).
CONCLUSIONS: MR-board 2 self-training, which includes natural interactions between humans and computers using a tangible user interface and real-time tracking of the fingers, improved upper limb function across impairment, activity, and participation. MR-board 2 could be used as a self-training tool for patients with stroke, improving their quality of life.
BACKGROUND: This study was registered with the Clinical Research Information Service (CRIS: KCT0004167).
METHODS: Twenty-one participants with hemiplegic stroke (10 with left hemiplegia and 11 with right hemiplegia; nine female patients; 56.7 ± 14.2 years of age; and onset of stroke 32.7 ± 34.8 months) participated in this study. MR-board 2 comprised a board plate, a depth camera, plastic-shaped objects, a monitor, a palm-worn camera, and seven gamified training programs. All participants performed 20 self-training sessions involving 30-min training using MR-board 2. The outcome measurements for upper extremity function were the Fugl-Meyer assessment (FMA) upper extremity score, repeated number of finger flexion and extension (Repeat-FE), the thumb opposition test (TOT), Box and Block Test score (BBT), Wolf Motor Function Test score (WMFT), and Stroke Impact Scale (SIS). One-way repeated measures analysis of variance and the post hoc test were applied for the measurements. MR-board 2 recorded the fingers\' active range of motion (AROM) and Dunnett\'s test was used for pairwise comparisons.
RESULTS: Except for the FMA-proximal score (p = 0.617) and TOT (p = 0.005), other FMA scores, BBT score, Repeat-FE, WMFT score, and SIS stroke recovery improved significantly (p < 0.001) during MR-board 2 training and were maintained until follow-up. All AROM values of the finger joints changed significantly during training (p < 0.001).
CONCLUSIONS: MR-board 2 self-training, which includes natural interactions between humans and computers using a tangible user interface and real-time tracking of the fingers, improved upper limb function across impairment, activity, and participation. MR-board 2 could be used as a self-training tool for patients with stroke, improving their quality of life.
BACKGROUND: This study was registered with the Clinical Research Information Service (CRIS: KCT0004167).
摘要：
背景：混合现实（MR）有助于中风患者的手部训练，允许它们在与真实物体交互时完全淹没在虚拟空间中。MR康复需要识别单个手指运动。这项研究旨在评估更新的MR板2的有效性，增加中风患者的手指训练。
方法：21名偏瘫卒中患者（10名患者为左偏瘫，11名患者为右偏瘫；9名女性患者；56.7±14.2岁；卒中发作32.7±34.8个月）参加了这项研究。MR板2包括一块板，一个深度摄像头,塑料形状的物体，一个监视器,手掌上戴的相机，和七个游戏化训练计划。所有参与者都进行了20次自我培训课程，其中包括使用MR板2进行30分钟的培训。上肢功能的结果测量为Fugl-Meyer评估（FMA）上肢评分，手指屈伸重复次数(重复FE),拇指反对测试（TOT），方框和方框测试分数（BBT），狼运动功能测试评分（WMFT），和中风影响量表(SIS)。对测量应用单向重复测量方差分析和事后检验。MR板2记录了手指活动范围（AROM），Dunnett测试用于成对比较。
结果：除了FMA近端得分（p=0.617）和TOT（p=0.005），其他FMA成绩,BBT得分,重复-FE,WMFT得分,在MR-板2训练期间，SIS卒中恢复显着改善（p<0.001），并一直保持到随访。在训练期间,手指关节的所有AROM值均显著改变(p<0.001)。
结论：MR-板2自我训练，其中包括使用有形用户界面和手指实时跟踪的人与计算机之间的自然交互，改善上肢功能，活动,和参与。MR-板2可以用作中风患者的自我训练工具，提高他们的生活质量。
背景：本研究已在临床研究信息服务（CRIS：KCT0004167）注册。
方法：21名偏瘫卒中患者（10名患者为左偏瘫，11名患者为右偏瘫；9名女性患者；56.7±14.2岁；卒中发作32.7±34.8个月）参加了这项研究。MR板2包括一块板，一个深度摄像头,塑料形状的物体，一个监视器,手掌上戴的相机，和七个游戏化训练计划。所有参与者都进行了20次自我培训课程，其中包括使用MR板2进行30分钟的培训。上肢功能的结果测量为Fugl-Meyer评估（FMA）上肢评分，手指屈伸重复次数(重复FE),拇指反对测试（TOT），方框和方框测试分数（BBT），狼运动功能测试评分（WMFT），和中风影响量表(SIS)。对测量应用单向重复测量方差分析和事后检验。MR板2记录了手指活动范围（AROM），Dunnett测试用于成对比较。
结果：除了FMA近端得分（p=0.617）和TOT（p=0.005），其他FMA成绩,BBT得分,重复-FE,WMFT得分,在MR-板2训练期间，SIS卒中恢复显着改善（p<0.001），并一直保持到随访。在训练期间,手指关节的所有AROM值均显著改变(p<0.001)。
结论：MR-板2自我训练，其中包括使用有形用户界面和手指实时跟踪的人与计算机之间的自然交互，改善上肢功能，活动,和参与。MR-板2可以用作中风患者的自我训练工具，提高他们的生活质量。
背景：本研究已在临床研究信息服务（CRIS：KCT0004167）注册。
